Machine Learning Engineer - Emerging Business - TikTok BRIC
Core
Build scalable risk control algorithms and AI systems to detect fraud, abuse, and manipulation across TikTok's emerging businesses (Drama, AI, Open Platform).
Role type
Senior IC machine learning engineer (risk control & adversarial defense)
Builds
Real-time risk detection and scoring models, hybrid rule-model defense systems, and automated risk investigation solutions for emerging business platforms.
Domain
Internet platform safety, advertising anti-fraud, and AI ecosystem integrity
Deliverable
production ML models
Required skills
Machine learning and deep learning, classification, ranking, sequence modeling, anomaly detection, graph learning, multimodal representation learning, adversarial defense, Python, C++, Go, PyTorch, TensorFlow, XGBoost, DeepFM, Transformers, Graph Neural Networks
Preferred skills
Agentic AI, LLM post-training and fine-tuning, behavioral sequence modeling, device fingerprinting, large-scale distributed risk control systems, end-to-end risk technology research
Technologies
PyTorch, TensorFlow, XGBoost, DeepFM, Transformers, Graph Neural Networks
Responsibilities
Lead design and development of risk control algorithms for emerging businesses; Develop high-precision, low-latency real-time risk detection models; Analyze abuse patterns and develop adversarial strategies; Drive research and implementation of advanced AI technologies; Collaborate cross-functionally to deploy scalable risk control capabilities
Seniority
Senior, hands-on IC
